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The Personalization Paradox: the Conflict between Accurate User Models and Personalized Adaptive Systems
Conference proceeding   Open access

The Personalization Paradox: the Conflict between Accurate User Models and Personalized Adaptive Systems

Santiago Ontanon, Jichen Zhu and ACM
26TH INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES (IUI '21 COMPANION), pp 64-66
01 Jan 2021
DOI: https://doi.org/10.1145/3397482.3450734
url
http://arxiv.org/abs/2103.01771View
Submitted Open Open Access (License Unspecified)

Abstract

Computer Science Computer Science, Artificial Intelligence Computer Science, Software Engineering Science & Technology Technology
Personalized adaptation technology has been adopted in a wide range of digital applications such as health, training and education, e-commerce and entertainment. Personalization systems typically build a user model, aiming to characterize the user at hand, and then use this model to personalize the interaction. Personalization and user modeling, however, are often intrinsically at odds with each other (a fact some times referred to as the personalization paradox). In this paper, we take a closer look at this personalization paradox, and identify two ways in which it might manifest: feedback loops and moving targets. To illustrate these issues, we report results in the domain of personalized exergames (videogames for physical exercise), and describe our early steps to address some of the issues arisen by the personalization paradox.

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3 citations in Web of Science
5 citations in Scopus

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Industry collaboration
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International collaboration
Web of Science research areas
Computer Science, Artificial Intelligence
Computer Science, Software Engineering
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